Abstract Details
Activity Number:
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289
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract - #308730 |
Title:
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A Goodness-of-Fit Measure for Spatio-Temporal Models
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Author(s):
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Pavel Chernyavskiy*+ and Aimee Schwab and David B. Marx
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Companies:
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and University of Nebraska - Lincoln and University of Nebraska - Lincoln
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Keywords:
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spatio-temporal ;
complete spatial randomness ;
goodness-of-fit
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Abstract:
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While the body of literature on the specification and estimation of spatio-temporal models has grown considerably over the past decade, diagnostics for these models are yet to receive as much attention. The authors propose a new goodness-of-fit measure for spatio-temporal models based on the test for complete spatial randomness (CSR) for point-referenced data. First, kriging residuals are obtained and tested for CSR at each time point. Second, the proposed goodness-of-fit measure is computed for all time points by considering how the CSR test statistic varies across time. The performance of the new measure is investigated using a simulated dataset and comparisons to existent goodness-of-fit measures are subsequently carried out.
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Authors who are presenting talks have a * after their name.
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